Instructions to use Taykhoom/RNA-MSM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/RNA-MSM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Taykhoom/RNA-MSM", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Taykhoom/RNA-MSM", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,221 Bytes
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"added_tokens_decoder": {
"0": {
"content": "<cls>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"1": {
"content": "<pad>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"2": {
"content": "<eos>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"3": {
"content": "<unk>",
"lstrip": false,
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"rstrip": false,
"single_word": false,
"special": true
},
"11": {
"content": "<mask>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
}
},
"auto_map": {
"AutoTokenizer": ["tokenization_rnamsm.RNAMSMTokenizer", null]
},
"clean_up_tokenization_spaces": false,
"cls_token": "<cls>",
"eos_token": "<eos>",
"extra_special_tokens": {},
"mask_token": "<mask>",
"model_max_length": 1024,
"pad_token": "<pad>",
"tokenizer_class": "RNAMSMTokenizer",
"unk_token": "<unk>"
}
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